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Infotainment testing

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  • Posted 2 months ago
  • Over 200 applicants have applied

Job Description

  • 3 to 6 years of experience in testing infotainment, preferably with Android based IVI and connected services
  • Strong experience in test automation framework like Robot, Cucumber, selenium etc.
  • Experience in script development using Python, image processing using OpenCV, SOMEIP, Ethernet, CAN, LIN, ADB, Appium
  • Experience with SCM tools such as GIT, Gerrit, Jenkins
  • Exposure to testing tools and hardware such as CANoe, Vector tools etc.
  • Hands on experience on DOORs, JIRA, code-beamer, Confluence etc.
  • Experience with SCM tools such as GIT, Gerrit, Jenkins
  • Top-notch teamwork and communication skills and a strong problem solver
  • Creative, disciplined, strong sense of responsibility to delivery result to meet schedule and commitment
  • Familiarity with infotainment systems, Bluetooth, Media, Tuner, Wi-Fi, GPS, and smartphone integration (e.g., Android Auto, Apple CarPlay) Desired Skills
  • Familiarity with Agile or Scrum methodologies of project management
  • Experience in automotive, embedded systems, or IoT domains
  • Awareness of software testing standards automotive SPICE (desirable)
  • ISTQB or equivalent certification 

More Info

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About Company

KPIT Technologies is a global partner to the automotive and Mobility ecosystem for making software-defined vehicles a reality. It is a leading independent software development and integration partner helping mobility leapfrog towards a clean, smart, and safe future.

With 13000+ Automobelievers across the globe specializing in embedded software, AI, and digital solutions, KPIT accelerates its clients’ implementation of next-generation technologies for the future mobility roadmap. With engineering centers in Europe, the USA, Japan, China, Thailand, and India, KPIT works with leaders in automotive and Mobility and is present where the ecosystem is transforming.

Job ID: 105048023

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Bengaluru, India

Skills:

GitAutomation FrameworksDockerKubernetesPythonInfotainment testingMachine learning models

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